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dc.contributor.authorMarcos Núñez, María Paloma 
dc.contributor.authorPitarch Pérez, José Luis 
dc.contributor.authorJasch, Christian
dc.contributor.authorPrada Moraga, César de 
dc.date.accessioned2020-08-10T15:16:52Z
dc.date.available2020-08-10T15:16:52Z
dc.date.issued2019
dc.identifier.citationProceedings of the ESCAPE 29, Eindhoven, The Netherlands, Anton A. Kiss, Edwin Zondervan, Richard Lakerveld, Leyla Özkan (Eds.). Computer Aided Chemical Engineering, Volume 46, 2019, Pages 979-984es
dc.identifier.isbn9780128186343es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/41774
dc.descriptionProducción Científicaes
dc.description.abstractThis work aims to optimise the operation of an evaporation network with shared resources in real time. The goal is minimising the resource utilisation (live steam and cooling water) while satisfying a set of operational constrains. Hence, problems of optimal load allocation of feeds to plants and cooling-water distribution among them arise. The work bases on plants surrogate models, experimentally obtained, and analyses different formulation alternatives of the optimisation from the practical point of view: centralised vs distributed approaches. In particular for the distributed approach, we propose a problem decomposition which allows us to solve the problem in two iterative ways: 1) as two independent optimisations or 2) via price-coordination schemes.es
dc.format.extent6 p.es
dc.format.mimetypeapplication/pdfes
dc.language.isospaes
dc.publisherElsevieres
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.subjectOptimización matemáticaes
dc.subjectIndustria - Aspecto del medio ambientees
dc.subjectEficiencia en la industria - Innovaciones tecnológicases
dc.subject.classificationDecomposition methodses
dc.subject.classificationRTOes
dc.subject.classificationEvaporation networkes
dc.subject.classificationResource efficiencyes
dc.titleOptimal distributed load allocation and resource utilisation in evaporation plantses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.rights.holderElsevieres
dc.identifier.doi10.1016/B978-0-12-818634-3.50164-8es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/B9780128186343501648es
dc.title.event29th European Symposium on Computer Aided Process Engineering, ESCAPE 29es
dc.description.projectThis research is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 723575. The first author also acknowledges the European Social Fund and the “Consejería de Educación de la Junta de Castilla y Leónes
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/723575
dc.rightsAtribución-CompartirIgual 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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